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Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding

https://doi.org/10.1007/s11263-019-01182-4

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01234-2_27openalex-snapshot

End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners

inferredcites →https://doi.org/10.1007/978-3-030-01261-8_42openalex-snapshot

Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding

inferredcites →https://doi.org/10.1007/978-3-319-46475-6_10openalex-snapshot

Single Image Dehazing via Multi-scale Convolutional Neural Networks

inferredcites →https://doi.org/10.1007/978-3-540-88682-2_5openalex-snapshot

Segmentation and Recognition Using Structure from Motion Point Clouds

inferredcites →https://doi.org/10.1007/978-3-642-33786-4_28openalex-snapshot

Road Scene Segmentation from a Single Image

inferredcites →https://doi.org/10.1007/s00138-005-0011-1openalex-snapshot

Automatic fog detection and estimation of visibility distance through use of an onboard camera

inferredcites →https://doi.org/10.1007/s00138-011-0404-2openalex-snapshot

Recent progress in road and lane detection: a survey

inferredcites →https://doi.org/10.1007/s11263-006-0028-6openalex-snapshot

Vision and Rain

inferredcites →https://doi.org/10.1007/s11263-007-0110-8openalex-snapshot

A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach

inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot

The Pascal Visual Object Classes (VOC) Challenge

inferredcites →https://doi.org/10.1007/s11263-011-0508-1openalex-snapshot

Bayesian Defogging

inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot

ImageNet Large Scale Visual Recognition Challenge

inferredcites →https://doi.org/10.1007/s11263-018-1072-8openalex-snapshot

Semantic Foggy Scene Understanding with Synthetic Data

inferredcites →https://doi.org/10.1016/j.cviu.2017.09.003openalex-snapshot

Haze visibility enhancement: A Survey and quantitative benchmarking

inferredcites →https://doi.org/10.1023/a:1016328200723openalex-snapshot

Vision and the Atmosphere

inferredcites →https://doi.org/10.1109/access.2015.2511558openalex-snapshot

Review of Video and Image Defogging Algorithms and Related Studies on Image Restoration and Enhancement

inferredcites →https://doi.org/10.1109/cscs.2015.56openalex-snapshot

Visibility Detection in Foggy Environment

inferredcites →https://doi.org/10.1109/cvpr.2008.4587643openalex-snapshot

Visibility in bad weather from a single image

inferredcites →https://doi.org/10.1109/cvpr.2012.6248074openalex-snapshot

Are we ready for autonomous driving? The KITTI vision benchmark suite

inferredcites →https://doi.org/10.1109/cvpr.2014.383openalex-snapshot

Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing

inferredcites →https://doi.org/10.1109/cvpr.2015.7298975openalex-snapshot

Metric imitation by manifold transfer for efficient vision applications

inferredcites →https://doi.org/10.1109/cvpr.2015.7298982openalex-snapshot

Watch and learn: Semi-supervised learning of object detectors from videos

inferredcites →https://doi.org/10.1109/cvpr.2016.185openalex-snapshot

Non-local Image Dehazing

inferredcites →https://doi.org/10.1109/cvpr.2016.309openalex-snapshot

Cross Modal Distillation for Supervision Transfer

inferredcites →https://doi.org/10.1109/cvpr.2016.350openalex-snapshot

The Cityscapes Dataset for Semantic Urban Scene Understanding

inferredcites →https://doi.org/10.1109/cvpr.2016.352openalex-snapshot

The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes

inferredcites →https://doi.org/10.1109/cvpr.2017.241openalex-snapshot

Learning from Simulated and Unsupervised Images through Adversarial Training

inferredcites →https://doi.org/10.1109/cvpr.2017.549openalex-snapshot

RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2017.660openalex-snapshot

Pyramid Scene Parsing Network

inferredcites →https://doi.org/10.1109/cvpr.2018.00352openalex-snapshot

Domain Adaptive Faster R-CNN for Object Detection in the Wild

inferredcites →https://doi.org/10.1109/cvpr.2018.00395openalex-snapshot

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2018.00433openalex-snapshot

Data Distillation: Towards Omni-Supervised Learning

inferredcites →https://doi.org/10.1109/cvpr.2018.00780openalex-snapshot

Learning to Adapt Structured Output Space for Semantic Segmentation

inferredcites →https://doi.org/10.1109/iccv.2013.167openalex-snapshot

Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling

inferredcites →https://doi.org/10.1109/iccv.2013.259openalex-snapshot

Ensemble Projection for Semi-supervised Image Classification

inferredcites →https://doi.org/10.1109/iccv.2015.169openalex-snapshot

Fast R-CNN

inferredcites →https://doi.org/10.1109/iccv.2015.389openalex-snapshot

Mutual-Structure for Joint Filtering

inferredcites →https://doi.org/10.1109/iccv.2017.223openalex-snapshot

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes

inferredcites →https://doi.org/10.1109/iccv.2017.534openalex-snapshot

The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes

inferredcites →https://doi.org/10.1109/icip.2016.7532768openalex-snapshot

Learning deep transmission network for single image dehazing

inferredcites →https://doi.org/10.1109/icra.2018.8460982openalex-snapshot

Incremental Adversarial Domain Adaptation for Continually Changing Environments

inferredcites →https://doi.org/10.1109/itsc.2009.5309842openalex-snapshot

Fog detection system based on computer vision techniques

inferredcites →https://doi.org/10.1109/itsc.2014.6957878openalex-snapshot

Fast fog detection for camera based Advanced Driver Assistance Systems

inferredcites →https://doi.org/10.1109/itsc.2018.8569387openalex-snapshot

Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime

inferredcites →https://doi.org/10.1109/ivs.2010.5548128openalex-snapshot

Improved visibility of road scene images under heterogeneous fog

inferredcites →https://doi.org/10.1109/ivs.2011.5940486openalex-snapshot

Towards night fog detection through use of in-vehicle multipurpose cameras

inferredcites →https://doi.org/10.1109/ivs.2012.6232256openalex-snapshot

Image based fog detection in vehicles

inferredcites →https://doi.org/10.1109/ivs.2013.6629514openalex-snapshot

Classification of images in fog and fog-free scenes for use in vehicles

inferredcites →https://doi.org/10.1109/ivs.2019.8814089openalex-snapshot

Real-time 3D Traffic Cone Detection for Autonomous Driving

inferredcites →https://doi.org/10.1109/mits.2012.2189969openalex-snapshot

Vision Enhancement in Homogeneous and Heterogeneous Fog

inferredcites →https://doi.org/10.1109/tcsvt.2019.2912145openalex-snapshot

Joint Transmission Map Estimation and Dehazing using Deep Networks

inferredcites →https://doi.org/10.1109/tip.2014.2358076openalex-snapshot

Single Image Defogging by Multiscale Depth Fusion

inferredcites →https://doi.org/10.1109/tip.2015.2456502openalex-snapshot

Referenceless Prediction of Perceptual Fog Density and Perceptual Image Defogging

inferredcites →https://doi.org/10.1109/tits.2014.2331177openalex-snapshot

Nighttime Visibility Analysis and Estimation Method in the Presence of Dense Fog

inferredcites →https://doi.org/10.1109/tits.2015.2405013openalex-snapshot

Exponential Contrast Restoration in Fog Conditions for Driving Assistance

inferredcites →https://doi.org/10.1109/tits.2015.2509509openalex-snapshot

Vision for Looking at Traffic Lights: Issues, Survey, and Perspectives

inferredcites →https://doi.org/10.1109/tpami.2003.1201821openalex-snapshot

Contrast restoration of weather degraded images

inferredcites →https://doi.org/10.1109/tpami.2010.168openalex-snapshot

Single Image Haze Removal Using Dark Channel Prior

inferredcites →https://doi.org/10.1109/tpami.2012.120openalex-snapshot

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

inferredcites →https://doi.org/10.1109/tpami.2012.213openalex-snapshot

Guided Image Filtering

inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

inferredcites →https://doi.org/10.1145/1015706.1015777openalex-snapshot

Digital photography with flash and no-flash image pairs

inferredcites →https://doi.org/10.1145/1015706.1015778openalex-snapshot

Flash photography enhancement via intrinsic relighting

inferredcites →https://doi.org/10.1145/1150402.1150464openalex-snapshot

Model compression

inferredcites →https://doi.org/10.1145/1189762.1189765openalex-snapshot

Context-aware textures

inferredcites →https://doi.org/10.1145/1275808.1276497openalex-snapshot

Joint bilateral upsampling

inferredcites →https://doi.org/10.1145/1330511.1330512openalex-snapshot

Synthesis and evaluation of linear motion transitions

inferredcites →https://doi.org/10.1145/1360612.1360671openalex-snapshot

Single image dehazing

inferredcites →https://doi.org/10.1145/1553374.1553380openalex-snapshot

Curriculum learning

inferredcites →https://doi.org/10.1145/2651362openalex-snapshot

Dehazing Using Color-Lines

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.48550/arxiv.1407.5035openalex-snapshot

LSDA: Large Scale Detection Through Adaptation

inferredcites →https://doi.org/10.48550/arxiv.1511.07122openalex-snapshot

Multi-Scale Context Aggregation by Dilated Convolutions

inferredcites →https://doi.org/10.48550/arxiv.1711.03213openalex-snapshot

CyCADA: Cycle-Consistent Adversarial Domain Adaptation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Smooth and Clear: Auxiliary Domain and Inter-Class Contrast Adaptation for Semantic Foggy Scene Segmentation

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Unified Density-Aware Image Dehazing and Object Detection in Real-World Hazy Scenes

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Discovering Latent Classes for Semi-supervised Semantic Segmentation

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Combating Label Distribution Shift for Active Domain Adaptation

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Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions

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HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

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FAFormer: Foggy Scene Semantic Segmentation by Fog-Invariant Auxiliary Domain Adaptation

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CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning

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MUSES: The Multi-sensor Semantic Perception Dataset for Driving Under Uncertainty

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FREST: Feature RESToration for Semantic Segmentation Under Multiple Adverse Conditions

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BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic Segmentation

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CPT: Competence-Progressive Training Strategy for Few-Shot Node Classification

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Target-Aware Generative Adversarial Network for Domain Adaptive Yolo in Cross Weather

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TFFD-Net: an effective two-stage mixed feature fusion and detail recovery dehazing network

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RETRACTED ARTICLE: Image object detection and semantic segmentation based on convolutional neural network

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Semi-supervised single-image dehazing based on spatial-channel feature enhancement

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A Comprehensive Benchmark Analysis of Single Image Deraining: Current Challenges and Future Perspectives

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Guest Editorial: Special Issue on “Computer Vision for All Seasons: Adverse Weather and Lighting Conditions”

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Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset

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DLOW: Domain Flow and Applications

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The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation

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Curriculum Learning: A Survey

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Domain-Specific Bias Filtering for Single Labeled Domain Generalization

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Instance Segmentation in the Dark

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Generative Semantic Domain Adaptation for Perception in Autonomous Driving

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Latent domain knowledge distillation for nighttime semantic segmentation

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Generalizing state-of-the-art object detectors for autonomous vehicles in unseen environments

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Distribution regularized self-supervised learning for domain adaptation of semantic segmentation

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FGDNet: Frequency-domain guided degradation-aware network for object detection in adverse weather

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Weakly supervised high spatial resolution land cover mapping based on self-training with weighted pseudo-labels

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HDNet: A dual-stream network with progressive fusion for image hazing detection

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An accuracy-efficiency balanced dehazing method via dual priors and haze condition classification

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Research on cherry ripeness detection in foggy conditions using GCE-YOLO model

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FogAdapt: Self-supervised domain adaptation for semantic segmentation of foggy images

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UMS 2 -ODNet: Unified-scale domain adaptation mechanism driven object detection network with multi-scale attention

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Decomposition based curriculum-style self-training for source-free universal domain adaptation in computational pathology

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Fog-free training for foggy scene understanding

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Bus journey simulation to develop public transport predictive algorithms

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Deep learning-based segmentation of lithium-ion battery microstructures enhanced by artificially generated electrodes

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EBCDet: Energy-Based Curriculum for Robust Domain Adaptive Object Detection

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DPAC: Dual-Path Domain Bridging With Atmospheric Correction for Adverse Weather Adaptation

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A Model-based Curriculum Learning Strategy for Training SegFormer

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Optical Flow in Dense Foggy Scenes Using Semi-Supervised Learning

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Uncertainty Reduction for Model Adaptation in Semantic Segmentation

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FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation

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Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding

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Human Pose Estimation in Extremely Low-Light Conditions

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MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation

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SynFog: A Photorealistic Synthetic Fog Dataset Based on End-to-End Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving

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A Dataset for Semantic Segmentation in the Presence of Unknowns

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HIDeGan: A Hyperspectral-guided Image Dehazing GAN

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Implicit Euler ODE Networks for Single-Image Dehazing

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Progressive Knowledge-Embedded Unified Perceptual Parsing for Scene Understanding

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Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach

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Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation

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mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets

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ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding

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Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation

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AdaDCP: Learning an Adapter with Discrete Cosine Prior for Clear-to-Adverse Domain Generalization

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Fishyscapes: A Benchmark for Safe Semantic Segmentation in Autonomous Driving

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Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions

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CDAda: A Curriculum Domain Adaptation for Nighttime Semantic Segmentation

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SS-SFDA : Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous Environments

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SDAT-Former: Foggy Scene Semantic Segmentation Via A Strong Domain Adaptation Teacher

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SGDA: A Saliency-Guided Domain Adaptation Network for Nighttime Semantic Segmentation

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StyleLess layer: Improving robustness for real-world driving

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CompUDA: Compositional Unsupervised Domain Adaptation for Semantic Segmentation Under Adverse Conditions

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Texture Underfitting for Domain Adaptation

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Semantic Understanding of Foggy Scenes with Purely Synthetic Data

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Multi-Modal Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation

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Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation

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A Systematic Review of Influences and Test Methodologies: Evaluating the Impact of Adverse Weather Conditions on Perception Systems for Intelligent Vehicles

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Optical Flow Estimation in Dense Foggy Scenes With Domain-Adaptive Networks

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A Novel Fast Single Image Dehazing Algorithm Based on Artificial Multiexposure Image Fusion

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An Efficient Sampling-Based Attention Network for Semantic Segmentation

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Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label Diffusion

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Energy-Based Domain Adaptation Without Intermediate Domain Dataset for Foggy Scene Segmentation

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Vision-Based Semantic Segmentation in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks

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Ensemble Uncertainty Guided Road Scene Anomaly Detection: A Simple Meta-Learning Approach

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Importance Biased Traffic Scene Segmentation in Diverse Weather Conditions

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MMID-Bench: A Comprehensive Benchmark for Multi-Domain Multi-Category Intrusion Detection

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Unsupervised Domain Adaptation From Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks

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Federated Hallucination Translation and Source-Free Regularization Adaptation in Decentralized Domain Adaptation for Foggy Scene Understanding

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Contrastive Learning With Multiple Prototypes for Unsupervised Domain Adaptive Semantic Segmentation

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Hierarchical Semantic-Visual Fusion of Visible and Near-Infrared Images for Long-Range Haze Removal

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Boundary-Based Active Domain Adaptation for Semantic Segmentation Under Adverse Conditions

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Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation

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Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation

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A Curriculum-Style Self-Training Approach for Source-Free Semantic Segmentation

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Adverse Weather Optical Flow: Cumulative Homogeneous-Heterogeneous Adaptation

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Condition-Invariant Semantic Segmentation

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ACDC: The Adverse Conditions Dataset With Correspondences for Robust Semantic Driving Scene Perception

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Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation

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Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions

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Domain-Aware Knowledge Distillation for Continual Model Generalization

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InfraParis: A multi-modal and multi-task autonomous driving dataset

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PAIR : Perception Aided Image Restoration for Natural Driving Conditions

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Supporting Ultra-High-Resolution Digital Agriculture Tasks with Fully Synthetic Curriculum Learning

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See clearer at night: towards robust nighttime semantic segmentation through day-night image conversion

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CurML: A Curriculum Machine Learning Library

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Train One, Generalize to All: Generalizable Semantic Segmentation from Single-Scene to All Adverse Scenes

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Research on Semantic segmentation co-evolutionary method for Automated Driving Haze Images

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MIFormer: An effective semantic segmentation network for foggy weather conditions based on transformer network utilizing multi-teacher intermediate domain adaptation

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Dynamic Evaluation and System Coordination Degree of the Integration of Artificial Intelligence and Real Economy

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Computer Vision and Deep Learning based road monitoring towards a Connected, Cooperative and Automated Mobility

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A Comprehensive Review of Modern Object Segmentation Approaches

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Analogical Image Translation for Fog Generation

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Close the Loop: A Unified Bottom-Up and Top-Down Paradigm for Joint Image Deraining and Segmentation

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Only a Few Classes Confusing: Pixel-Wise Candidate Labels Disambiguation for Foggy Scene Understanding

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VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions

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Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency

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A Review on Cross Weather Traffic Scene Understanding Using Transfer Learning for Intelligent Transport System

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MIFormer: An Effective Semantic SegmentationNetwork for Foggy Weather conditions

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Deep learning-based floating garbage detection for unmanned surface vehicles in complex water environments

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Semantic Segmentation of Foggy Scenes Based on Progressive Domain Gap Decoupling

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Hazy Images Segmentation Method Based on Improved DeeplabV3+

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Frequency-Based Haze and Rain Removal Network (FHRR-Net) with Deep Convolutional Encoder-Decoder

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Artifact-Free Single Image Defogging

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A Physical-Prior Guided UAV Perception and Sailability Assessment Framework for Main Route Navigation Under Fog Conditions

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Reliable Pseudo-Labeling and Confusion Calibration for Foggy-Scene Semantic Segmentation

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SDAT-Former++: A Foggy Scene Semantic Segmentation Method with Stronger Domain Adaption Teacher for Remote Sensing Images

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Sensors on the Move: Onboard Camera-Based Real-Time Traffic Alerts Paving the Way for Cooperative Roads

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Unsupervised Domain Adaptation in Semantic Segmentation: A Review

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Semantic Segmentation of Foggy Scenes Based on Progressive Domain Gap Decoupling

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Semantic Segmentation of Foggy Scenes Based on Progressive Domain Gap Decoupling

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Semantic Understanding of Foggy Scenes with Purely Synthetic Data

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mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets

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Worsening Perception: Real-Time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions

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Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation

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Unsupervised Domain Adaptation in Semantic Segmentation: a Review

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Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation

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Sensor fusion with deep neural networks for 3D object detection for autonomous vehicles

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Gated Graph Reasoning Network with Color Tuning and Calibration for Image Dehazing

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